Triple
T36034038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahmood Chaudhry |
E1042348
|
entity |
| Predicate | spouseIsDaughterOf |
P95474
|
FINISHED |
| Object | Benazir Bhutto |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Benazir Bhutto | Statement: [Mahmood Chaudhry, spouseIsDaughterOf, Benazir Bhutto]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spouseIsDaughterOf Context triple: [Mahmood Chaudhry, spouseIsDaughterOf, Benazir Bhutto]
-
A.
spouseOfDaughter
chosen
Indicates that one person is the spouse (husband or wife) of another person's daughter.
-
B.
spouseOfPersonWithParent
Indicates that one person is the spouse of another person who is a parent (i.e., married to someone who has at least one child).
-
C.
spouseOfYoungestDaughterOf
Indicates the person who is the spouse of another person’s youngest daughter.
-
D.
spouseOfDescendantOf
Indicates that one entity is the spouse of a person who is a descendant of another entity.
-
E.
spouseOfChildren
Indicates that one entity is the spouse (husband or wife) of the children of another entity.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76e2d7e8c8190bac4e90734566799 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fe744faca881908e11e90e0a35653f |
completed | May 8, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69fe734cbf7081909a552c5cf3b5ea59 |
completed | May 8, 2026, 11:35 p.m. |
Created at: May 3, 2026, 4:07 p.m.